Samsung Galaxy S20+ 5G - Jordan Personal Phone Samsung Galaxy S20+ 5G
Geekbench AI Score
208
Single Precision Score
179
Half Precision Score
785
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | jordatech |
| Upload Date | April 14 2026 10:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S20+ 5G |
| Model ID | samsung SM-G986U |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
292
54.3 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
97% |
684
127.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
41
0.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
574
9.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
1402
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
5131
5.99 IPS |
|
|
Pose Estimation (Q)
|
97% |
11090
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
326
25.8 IPS |
|
|
Object Detection (HP)
|
100% |
35
2.77 IPS |
|
|
Object Detection (Q)
|
85% |
1167
93.9 IPS |
|
|
Face Detection (SP)
|
100% |
890
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.92 IPS |
|
|
Face Detection (Q)
|
97% |
2946
35.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
173
1.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
82
0.63 IPS |
|
|
Depth Estimation (Q)
|
22% |
237
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
225
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
148
0.19 IPS |
|
|
Style Transfer (Q)
|
98% |
971
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
665
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4735
175.5 IPS |
|
|
Text Classification (SP)
|
71% |
2
3.39 IPS |
|
|
Text Classification (HP)
|
100% |
56
75.2 IPS |
|
|
Text Classification (Q)
|
93% |
83
111.9 IPS |
|
|
Machine Translation (SP)
|
100% |
73
1.25 IPS |
|
|
Machine Translation (HP)
|
100% |
91
1.57 IPS |
|
|
Machine Translation (Q)
|
54% |
66
1.86 IPS |
